Triple

T10804369
Position Surface form Disambiguated ID Type / Status
Subject Province of Tarragona E254925 entity
Predicate contains P35 FINISHED
Object City of Tarragona E80788 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: City of Tarragona | Statement: [Province of Tarragona, contains, City of Tarragona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Tarragona
Context triple: [Province of Tarragona, contains, City of Tarragona]
  • A. Tarragona chosen
    Tarragona is a historic port city in northeastern Spain, renowned for its well-preserved Roman ruins and status as a major cultural and economic center in Catalonia.
  • B. Tarraconensis
    Tarraconensis was a major Roman imperial province in the Iberian Peninsula, encompassing much of northern and central Spain.
  • C. Tarraco
    Tarraco was an important ancient Roman city on the Iberian Peninsula, serving as a major administrative, military, and commercial center in what is now Tarragona, Spain.
  • D. Sagunto
    Sagunto is a historic coastal town in eastern Spain renowned for its ancient Roman theatre and hilltop castle overlooking the Mediterranean.
  • E. Barbastro
    Barbastro is a historic town in the Aragon region of northeastern Spain, known for its wine production and medieval architecture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d73370e7388190885b104fc883456e completed April 9, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69de850209ac8190a7bf3a6d429d1217 completed April 14, 2026, 6:18 p.m.
Created at: April 8, 2026, 9:18 p.m.